Abstract: Underwater image processing has been always a very challenging problem. Under the effect of environmental factors, underwater images are exposed to some problems, such as colour cast, low visibility, and few edge details. Image Improvement includes numerous operations similar as discrepancy stretching, noise trimming, mock coloring, noise filtering etc. To improve the view of images. Underwater images bears mediocre because of nature of luminosity. When light enters into the water it got replicated , Noticed and scattered as water is denser medium then air, so the amount of luminosity sink when it enters from breeze to water and got dispersed in different tracks. Scattering causes the blurring and reduces the color contrast. So a novel approach is proposed to enhance underwater images by gamma correction to improve the brightness of dimmed images. The dark channel prior clear haze and noise effect, providing better observable quality. At the final stage, the contrast limited adaptive histogram equalization contrast and brightness of dehazed image. The enhanced fuzzy-free, natural appealing output can be used for display and analysis purpose.
Keywords: Pre-processing, Gamma correction, Dark channel prior, Contrast Limited Histogram equalization.
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DOI:
10.17148/IJARCCE.2023.12330
